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Eigenvalue Estimates Using the Kolmogorov-Sinai Entropy
Department of Mathematics, National Taiwan Normal University, 88 SEC. 4, Ting Chou Road, Taipei 11677, Taiwan
Received: 31 October 2011; in revised form: 28 November 2011 / Accepted: 12 December 2011 / Published: 20 December 2011
Abstract: The scope of this paper is twofold. First, we use the Kolmogorov-Sinai Entropy to estimate lower bounds for dominant eigenvalues of nonnegative matrices. The lower bound is better than the Rayleigh quotient. Second, we use this estimate to give a nontrivial lower bound for the gaps of dominant eigenvalues of A and A + V.
Keywords: Kolmogorov-Sinai entropy; Parry’s theorem; Eigenvalue estimates
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Cite This Article
MDPI and ACS Style
Shieh, S.-F. Eigenvalue Estimates Using the Kolmogorov-Sinai Entropy. Entropy 2011, 13, 2036-2048.
Shieh S-F. Eigenvalue Estimates Using the Kolmogorov-Sinai Entropy. Entropy. 2011; 13(12):2036-2048.
Shieh, Shih-Feng. 2011. "Eigenvalue Estimates Using the Kolmogorov-Sinai Entropy." Entropy 13, no. 12: 2036-2048.